Data Scientist/Machine Learning Engineer (offline)

We’re looking for a Data Scientist or Machine Learning Engineer to join our world-class development team in Kyiv (Gulliver) or Lviv (Magnus) and help us build sophisticated and impactful ML models and algorithms. is on a mission to make a positive impact on people, organizations, and communities. Our first product, Surprise for Teams, is the world’s first and only SuccessOS. Surprise for Teams makes it fun and irresistible to perform better, which creates a positive, long-lasting impact on people and their organizations.

What will you be doing?

Researching, designing, and implementing machine learning algorithms;
Communicating results, technical constraints, and decisions to the business and non-specialists;
Delivering rapid prototypes and proof of concepts that demonstrate real value;
Creating and delivering progress reports, slide decks, proposals, and documentation.

What we are looking for?

Upper-Intermediate English (B2) or higher;
A BS or higher in computer science or a related field;
4+ years of experience in software development;
2+ years of experience in Data Science;
Extensive knowledge of and practical experience in Machine Learning, Recommender Systems, and Algorithms;
Understanding of Machine Learning techniques like Linear Regression, Decision Trees, Collaborative Filtering, Anomaly Detection, etc.;
Practical experience with high-level programming language like Python and DS frameworks;
Proficiency in database query languages such as SQL;
Understanding of the ETL process;
Knowledge of Linear Algebra, Probability and Statistics, and Numerical methods;
Understanding of software development process, Agile approach, and CI/CD.

What skills will come in handy?

Experience building large-scale recommender engines (collaborative filtering, KNN, associative rule learning, custom similarity metrics, etc.);
Understanding of predictive analytics (time-series analysis and forecasting, survival and duration analysis, etc.);
Ability to apply graph analysis techniques for structural pattern recognition;
Applied statistics skills, such as distributions, hypothesis testing, regression analysis, etc.;
Experience building microservices and containerized applications (Docker, k8s);
Familiarity with Big Data frameworks — Hadoop, Spark Experience with Natural Language Processing NoSQL databases, such as MongoDB, Cassandra, HBase;
Experience with mining of structured, semi-structured, and unstructured data;
Experience with data visualization tools, such as Ggplot2, Plotly, Matplotlib.


Work on interesting and challenging projects, while building a pioneering software category;
Great atmosphere, with the vibe and energy of a high-growth tech company;
Competitive salaries;
Option of equity;
Close collaboration between UA and US team members;
Ultramodern office in the heart of Lviv (Magnus) and Kyiv (Gulliver);
Flexible working hours;
Complimentary dinners (like Pizza Friday!);
English classes and an immersive English-speaking work environment (we have a lot of native speakers at the office).

About is the world’s first and only SuccessOS™. We believe that driving organizational success by improving performance at the individual level represents our greatest opportunity to positively impact the way people live and work.

We’re committed to hiring builders who are inspired by our team’s guiding principle: to derive a tremendous sense of purpose from the inner quest for excellence itself. We take pride in developing deep user understanding, obsess about the details, and go the extra mile to show our users we love them. We are first and foremost customer driven — engineering, product and design collaborate as equals to create a phenomenal end user experience. We’re also home for numerous internal teams building internally facing tools for customer service, finance, and others, to keep the operation afloat.

Headquartered in San Mateo, California, is currently building a team of the best engineers, designers, and technologists in both Kyiv and Lviv (we are already ~100 strong). offers the following benefits:
• Competitive salaries and equity
• 20 working days of paid vacation
• Ultramodern office in the heart of Lviv (Magnus) and Kyiv (Guliver)
• English classes
• Fruits and dinners
• And, of course, we get Surprises internally

Company website:

DOU company page:

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